“Easily avoidable” if you know to look for them or if they’re labelled appropriately. This was just an example of a danger that autocomplete AI is creating today. Unscrupulous people will continue to shit out AI generated nonsense to try to sell when the seller does zero vetting of the products in their store (one of the many reasons I no longer shop at Amazon).
Many people, especially beginners, are not going to take the time to fully investigate their sources of knowledge, and to be honest they probably shouldn’t have to. If you get a book about mushrooms from the library, you can probably assume it’s giving valid information as the library has people to vet books. People will see Amazon as being responsible for keeping them safe, for better or worse.
I agree that generally there is a bunch of nonsense about ChatGPT and LLM AIs that isn’t really valid, and we’re seeing some amount of AI bubble happening where it’s a self feeding thing. In the end it will shake out, but before that all happens you have some outright dangerous and harmful things occurring today.
The problem is, the LLM AIs we have today literally cannot do this because they are not thinking machines. These AIs are beefed-up autocompletes without any actual knowledge of the underlying information being conveyed. The sentences are grammatically correct and read (mostly) like we would expect human written words to read, however the actual factual content is non-existent. The appearance of correctness just comes from the fact that the model was trained on information that was (probably mostly) correct in the first place.
I mean, we should still be calling these things algorithms and not “AI” as “AI” carries a lot of subtext in people’s minds. Most people understand “algorithms” to mean math, and that dehumanizes it. If you call something AI, all of a sudden people have sci-fi ideas of truly independent thinking machines. ChatGPT is not that, at all.